意大利学校层面阅读成绩决定因素的空间差异

IF 2.6 Q1 EDUCATION & EDUCATIONAL RESEARCH Large-Scale Assessments in Education Pub Date : 2021-06-09 DOI:10.1186/s40536-021-00105-5
Chiara Sacco, Patrizia Falzetti
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引用次数: 0

摘要

关于教育成就的地域差异的研究是一个广受争议的话题,特别是在意大利,因为存在众所周知的强烈的地区差异。国家和国际大规模评估证实,意大利学校系统的主要特点是南北方之间的地理鸿沟。决策者迫切需要找到缩小地域差距的解决方案。在本研究中,我们从一个新的视角调查了学业成绩的空间差异,假设学业成绩与预测因素之间的关系在意大利各地有所不同。我们的目的是超越地区行政范围,研究学业成绩与一些与教育成果不平等相关的学校层面因素之间的空间差异程度,从而找出新的空间模式。我们利用了 INVALSI 在 2018-2019 年进行的阅读标准化测试,重点关注八年级学生。我们的贡献关键在于使用了地理加权回归和k均值聚类,从而研究了学校层面因素对学业成绩影响的空间变异性,并将学校聚集在新的空间聚类中。本文的研究结果表明,有必要制定更具体的教育政策,并支持确定不同地理区域的主要关键因素。
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Spatial variations of school-level determinants of reading achievement in Italy

The study of the territorial difference in educational achievement is a widely debated topic, in particular in Italy for the presence of the well-known strong regional disparities. National and international large scale assessments confirmed that the main characteristic of the Italian school system is the geographical cleavage between North and South. Policymakers have pressing needs to find solutions to reduce geographical disparities. In this study, we investigate the spatial disparities of academic achievement from a new perspective, assuming that the relationship between academic achievement and predictors varies across Italy. Our aim is to examine the extent of the spatial disparities in the relationship between academic achievement and some school-level factors related to inequalities in educational outcomes, moving beyond the regional administrative confines, in order to identify new spatial patterns. We exploited the reading standardized tests administered by INVALSI in 2018–2019 focusing on the 8th-grade students. Crucial to our contribution is the use of the geographically weighted regression and the k-mean clustering, which allows studying the spatial variability of the impact of the school-level factors on academic achievement and to gather schools in new spatial clusters. The findings of this paper demonstrate the necessity to design a more specific education policy and support the identification of the main critical factors for different geographical areas.

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来源期刊
Large-Scale Assessments in Education
Large-Scale Assessments in Education Social Sciences-Education
CiteScore
4.30
自引率
6.50%
发文量
16
审稿时长
13 weeks
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